EP2280324A1 - Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage - Google Patents

Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage Download PDF

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Publication number
EP2280324A1
EP2280324A1 EP09164843A EP09164843A EP2280324A1 EP 2280324 A1 EP2280324 A1 EP 2280324A1 EP 09164843 A EP09164843 A EP 09164843A EP 09164843 A EP09164843 A EP 09164843A EP 2280324 A1 EP2280324 A1 EP 2280324A1
Authority
EP
European Patent Office
Prior art keywords
rolling
model
additional
control device
size
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP09164843A
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German (de)
English (en)
Inventor
Klaus Dr. Weinzierl
Hans-Ulrich Dr. Löffler
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Priority to EP09164843A priority Critical patent/EP2280324A1/fr
Priority to CN2010800306445A priority patent/CN102473002B/zh
Priority to EP20100732679 priority patent/EP2452234B1/fr
Priority to PCT/EP2010/059131 priority patent/WO2011003764A1/fr
Publication of EP2280324A1 publication Critical patent/EP2280324A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B2265/00—Forming parameters
    • B21B2265/12—Rolling load or rolling pressure; roll force
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B2275/00—Mill drive parameters
    • B21B2275/02—Speed
    • B21B2275/04—Roll speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B2275/00—Mill drive parameters
    • B21B2275/10—Motor power; motor current
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B2275/00—Mill drive parameters
    • B21B2275/10—Motor power; motor current
    • B21B2275/12—Roll torque
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/08—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring roll-force

Definitions

  • the present invention further relates to a control program comprising machine code which is directly executable by a controller for a rolling mill and whose execution by the control means causes the control means to carry out such a control method.
  • the present invention relates to a control device for a rolling mill, wherein the control device is designed such that it executes such a control method during operation.
  • the present invention relates to a rolling mill controlled by such a control device.
  • the rolling of rolling takes place in rolling mills such that a control computer an initial state of the rolling stock and a desired Final state of the rolling stock can be specified.
  • the control device determines a pass schedule, ie the reduction in the cross-section of the rolling stock to be carried out during the individual rolling operations, and the framework settings required for this, such as roll gap, roll reverse bending and the like.
  • the control device determined by the rolling model expected rolling sizes, ie rolling sizes that are expected during the respective stitch.
  • the rolling sizes are in particular the rolling force, the rolling moment and hereby equivalent variables such as contact pressure and motor current or motor torque.
  • the rolling model can be part of the stitch planner investigator.
  • the rolling model in its entirety accurately reflects the modeled rolling mill, the later actual values correspond to the expected values. Often, however, the model only incorrectly describes the rolling process, so that deviations of the actual rolling sizes from the expected rolling sizes result. The deviations can be used to adapt the rolling force model. This is known as such.
  • the adaptation takes place in some cases online, in other cases offline.
  • the term “offline” means an adaptation detached from the ongoing operation of the rolling mill.
  • online means adapting in connection with the ongoing operation of the rolling mill. An online adaptation must be completed in a few seconds. In particular, it must be completed so quickly that can be expected when rolling the next rolling stock with the adapted model.
  • the rolling force required for a rolling operation and the required rolling torque depend not only on the material to be rolled as such, but also on its internal state, in particular its temperature, its phase components and its microstructure. This is also known, see for example the WO 2008/043684 A1 . It is furthermore known from the aforementioned WO document that the corresponding properties can be predicted by means of corresponding models.
  • the control device determined by means of corresponding further models (additional models in the context of the present invention), the corresponding properties of the rolling stock, which are present at the time of rolling of the rolling stock in the rolling stock.
  • the corresponding determined properties take into account the control device in the context of the rolling model in the determination of the framework settings and the roll sizes. These models are often subject to model errors and must therefore be adapted.
  • a control method for a rolling mill is known in which a control device controls the rolling mill with control commands, so that a rolling stock is rolled according to the control commands in rolling mills of the rolling mill.
  • a microstructure optimizer is used to determine the control commands.
  • the models underlying the determination of the control commands - including, among others, the mentioned microstructure optimizer - are adapted on the basis of the measured values for specific states of the rolling mill or the variables derived therefrom.
  • the US 6,546,310 B1 is not stated to which conditions of the rolling mill is. Also, it is not stated which model is adapted on the basis of which size.
  • An online adaptation of a temperature model of the rolling stock is comparatively easy to accomplish. Because the temperature of the rolling stock is comparatively easy and above all to record in real time. For temperature models of the rolling stock, methods are therefore known for adapting the corresponding temperature model online. However, measuring methods by means of which the microstructure or the phase components of the rolling stock can be determined directly online and in real time are not known.
  • the adaptation of a structural model, by means of which the microstructure of the rolling stock is predicted at the time of a specific rolling operation therefore takes place offline in the prior art. The same applies to a phase transformation model, by means of which the phase fractions of the rolling stock are predicted at the time of a specific rolling operation.
  • the object of the present invention is to provide possibilities by means of which the additional models can also be adapted in a simple manner and yet the adaptation is physically correct.
  • control method for a rolling mill with the features of claim 1.
  • Advantageous embodiments of the control method according to the invention are the subject of the dependent claims 2 to 10.
  • control device adapts both the rolling model and the additional model by optimizing a cost function, but incorporates in the cost function, in addition to the deviation of the rolling size from the expected rolling size, a penalty term dependent on the adaptation of the rolling model. This ensures that the additional model is primarily adapted.
  • control device adapts exclusively the additional model, but not the rolling model, as part of the adaptation of the additional model and that exclusively the rolling model based on the deviation of the additional measured variable from the additional expectation variable, but not the additional model is adapted.
  • This procedure is appropriate if, due to the circumstances by means of which the additional measured variable is detected, it is known in advance that the influence of the property determined by means of the additional model on the additional measured variable is given only to a limited extent or not at all.
  • the additional model online Due to the fact that the detected roll size is available in real time, it is possible to adapt the additional model online. This procedure is preferred. In particular (but not exclusively) in the case of an adaptation of the additional model online, it is preferred that an initial state of the first rolling stock and a desired final state of the first rolled stock are predetermined to the control device and that the control device determines the activation commands using the rolling model and the additional model.
  • the additional model can in principle be of any nature. It may be, for example, a temperature model, by means of which the temperature of the rolling stock and the heat transfer to the environment are modeled. In a preferred embodiment of the present invention, it is provided that the additional model comprises a phase transformation model by means of which its phase components are determined as a property of the rolling stock. Alternatively or additionally, the additional model may comprise a structural model by means of which the structural quality of the rolling stock is determined.
  • control program of the type mentioned whose execution by the control device causes the control device executes an inventive control method.
  • the control program is usually stored on a data carrier in machine-readable form.
  • the data carrier can be part of the control device.
  • control device of the type mentioned which is designed such that she executes an inventive control method in operation.
  • Rolling product 2 is rolled in a rolling mill 1.
  • the rolling stock 2 is usually a metal, for example steel. It may in particular be band-shaped.
  • the rolling mill 1 is controlled by a control device 3.
  • the rolling mill 1 has at least one rolling stand 4, in which the rolling stock 2 is rolled. Most are according to the presentation of FIG. 1 several rolling stands 4 available in which the rolling stock 2 is rolled successively.
  • the control device 3 is designed such that it carries out a control method for the rolling mill 1 during operation.
  • the control device 3 is programmed for this purpose with a control program 7, which is stored in a data carrier 8, which is part of the control device 3.
  • the data carrier 8 may be designed as a hard disk of the control device 3.
  • the storage in the disk 8 is of course in machine-readable form.
  • the control program 7 comprises according to FIG. 1 Machine code 9, which is directly abaillebar by the controller 3.
  • the execution of the machine code 9 by the control device 3 causes the controller 3 to execute the control process.
  • the control program 7 may have been supplied to the control device 3 in any desired manner. Purely by way of example is in FIG. 1 a mobile data carrier 10 is shown on which the control program 7 is stored in machine-readable form.
  • the mobile data carrier 10 is shown in FIG. 1 designed as a USB memory stick.
  • any other configurations are also possible, for example as a CD-ROM or SD memory card.
  • FIG. 2 controls the control device 3 in a step S1 to the rolling mill 1 with drive commands A.
  • the control commands A for example, that the individual rolling stands 4, the rolling stock 2 with corresponding rolling forces F and rolling moments M act.
  • the control device 3 acquires at least one rolling size F, M in a step S2 per rolling operation, with which rolling of the rolling stock 2 takes place in the respective rolling stand 4.
  • the rolling size F, M may be a framework effective size F, M.
  • the framework effective sizes F, M are those variables with which the respective rolling stand 4 acts on the rolling stock 2.
  • As a framework effective quantities F, M are essentially the rolling force F and the rolling moment M in question. Alternatively, they can be of equivalent size.
  • the rolling force F the pressure in a hydraulic cylinder unit adjusting the respective rolling stand 4 can be used, instead of the rolling moment M the motor torque or the motor current of the drive for the respective rolling stand 4.
  • the roll gap and possibly the circumferential roll speed are also suitable.
  • the roll size may be a rolling stock size, in particular a geometric rolling stock size such as, for example, the incoming or outgoing dimensions of the rolled stock 2 or the rolling stock speed on or off side.
  • a geometric rolling stock size such as, for example, the incoming or outgoing dimensions of the rolled stock 2 or the rolling stock speed on or off side.
  • the temperature of the rolling stock 2 comes into question.
  • the control device 3 has according to FIG. 3 internally a rolling model 11 on.
  • the rolling model 11 describes the rolling of the rolling stock 2 in the rolling stands 4.
  • the control device 3 determines an expected rolling size F ', M' in a step S3 for at least one rolling operation.
  • the expected roll size F ', M' corresponds to the corresponding detected roll size F, M.
  • the roll model 11 is based on mathematical-physical equations, in particular on algebraic equations and / or differential equations.
  • the control unit 3 has according to FIG. 3 furthermore an additional model 12.
  • the additional model 12 is also based on mathematical-physical equations, in particular on algebraic equations and / or differential equations.
  • the control device 3 determines in a step S4 a property of the rolling stock 2 which is present in the rolling stock 2 in each case when the rolling stock 2 is rolled in the rolling stands 4.
  • the property is determined for each rolling stand 4 for the time at which the rolling stock 2 is rolled in the respective rolling stand 4. It is different from the recorded rolling size F, M.
  • the additional model 12 can in principle be of any nature.
  • the additional model 12 according to FIG. 3 a phase transformation model 13 include.
  • the phase transformation model 13 based on the phase transformation model 13 as a property of the rolling stock 2, its phase components are determined.
  • the phase transformation model 13 can provide an energy balance that is taken into account when determining the temperature of the rolling stock 2.
  • the additional model 12 may include a structural model 14. In this case, by means of the structural model 14 as a property of the rolling stock 2, its microstructure and thus its degree of solidification are determined.
  • the additional model 12 may - alternatively or additionally - also include another model, for example, in the case that the detected rolling size F, M is not the temperature of the rolling stock 2, a temperature model, by means of which the temperature of the rolling stock 2 is determined. Regardless of the specific nature of the additional model 12, however, the properties of the rolling stock 2 determined by means of the additional model 12 are taken into account in the determination of the expected rolling variable F ', M' in step S3. The step S4 is therefore upstream of the step S3.
  • step S5 the control device 3 determines the deviation ⁇ of the detected roll size F, M from the expected roll size F ', M'. Based on the deviation ⁇ , the control device 3 adapts at least the additional model 12 in a step S6.
  • Step S11 the control device 3 detects an additional measurement variable F, M.
  • the additional measurement variable F, M is recorded in addition to the roll size F, M.
  • it may be a roll size F, M, which in another rolling operation (ie in another rolling stand 4 than before and / or at another rolling stock 2 than before) is detected. It can also be a different size.
  • step S12 the Control device 3 based on at least the rolling model 11 - so either only on the basis of the rolling model 11 or based on the rolling model 11 and the additional model 12 - an expectation F ', M', which corresponds to the additional measure F, M.
  • the roll model 11 can also be adapted, for example in step S13.
  • the manner in which the steps S11 to S13 in the course of FIG. 2 can be embedded can be diverse nature. For example, an embodiment according to FIG. 5 possible.
  • FIG. 5 contains steps S1 to S5 of FIG. 2 , Steps S1 to S5 therefore do not require any further execution.
  • Step S6 of FIG. 2 is in FIG. 5 replaced by steps S21 to S23.
  • step S21 the control device 3 uses the deviation ⁇ to determine possible adaptation combinations.
  • Each adaptation combination comprises a first adaptation factor k1 for the rolling model 11 and a second adaptation factor k2 for the additional model 12 or one of the models 13, 14 contained in the additional model 12.
  • step S2 Due to the fact that in step S2 only for a single rolling operation - that is, for example, for rolling of the rolling stock 2 in the second of FIG. 1 shown rolling stands 4 - the rolling sizes F, M are detected and in steps S3, S4 only for this one rolling the corresponding expected rolling sizes F ', M' are determined, there is an uncertainty. Because two unknown quantities (namely, the adaptation factors k1, k2) are compared with only a single measurement. This results in a large number of possible adaptation combinations in step S21.
  • two unknown quantities namely, the adaptation factors k1, k2
  • step S22 the possible adaptation combinations determined in step S21 are compared with other adaptation combinations already known to the control device 3 and stored. Of the stored adaptation combinations, only those are retained in step S22, which were also determined in step S21. In step S22, therefore, there is a reduction of the possible adaptation combinations.
  • step S23 the control device 3 adapts the auxiliary model 12 and the rolling model 11 on the basis of those adaptation combinations whose storage is retained in step S22. Then, the controller 3 returns to step S2.
  • step S21 all adaptation combinations which are determined in step S21 are therefore stored in step S22.
  • step S22 the respective stored possible adaptation combinations form a basis, which is reduced further and further. Ideally, only a single possible adaptation combination remains or remain only a few, closely matched adaptation combinations.
  • FIG. 6 also goes by the approach of FIG. 2 out.
  • the step S1 is preceded by a step S31.
  • the step S6 is replaced by steps S32 and S33.
  • step S31 the rolling model 11 is trained in advance. It is thereby achieved that the rolling model 11 is error-free or at least substantially error-free.
  • the rolling stock 2 in the case of the phase transformation model 13, can be rolled at temperatures that are above the critical temperature of the rolling stock 2, so that the phase transformation model 13 does not come into play.
  • the structural model 14 the rolling of the rolled stock 2 can follow at a rolling speed which is so small that the recrystallization of the rolled stock 2 is completely completed between the individual rolling operations.
  • the texture model 14 does not come into play.
  • the deviation ⁇ in this case can only be attributed to the rolling model 11 itself. Any errors of the phase transformation model 13 or the structural model 14 do not come into play. It is therefore possible "in good conscience" in step S31, based on the deviation ⁇ , which is determined in an analogous manner, as described above in connection with FIG. 2 described exclusively to adapt the rolling model 11, but not the additional model 12th
  • the subfunctions K1, K2 are the squares or a higher power of the corresponding values.
  • step S33 the control device 3 determines those adaptation factors k1, k2 at which the cost function K assumes its minimum value. These values are adopted as corresponding adaptation factors k1, k2.
  • step S31 is executed offline.
  • steps S32 and S33 are preferably carried out online.
  • control device 3 in the context of the adaptation of the additional model 12 (step S6 of FIG. 2 Only the additional model 12 is adapted, but not the rolling model 11. In this case, only the rolling model 11 is adapted based on the deviation ⁇ of the additional measured variable F, M from the additional expected variable F ', M' explained in more detail below.
  • step S41 the adaptation of the rolling model 11, ie the step in which only the rolling model 11, but not the additional model 12 is adapted, analogous to the procedure of FIG. 6 done in advance.
  • step S41 only the additional model 12, but not the rolling model 11 is adapted.
  • step S41 it is possible to make the adaptation as needed. This will be described below in connection with FIG. 8 explained.
  • FIG. 8 comprises the steps S1 to S5 of FIG. 2 , the step S41 of FIG. 7 and additionally steps S51 to S53.
  • steps S51 to S53 will be explained.
  • step S51 additional information I is evaluated.
  • the additional information I is different from the property of the rolling stock 2, which is determined by means of the additional model 12.
  • M On the basis of the additional information I it is decided whether the property of the rolling stock 2 when detecting the rolling size F, M has a predetermined value. Depending on whether this condition is fulfilled or not, a logical variable OK is assigned the corresponding logical value (TRUE or FALSE).
  • step S52 the value of the logical variable OK is checked. Depending on the result of the check, either step S41 or step S53 is executed.
  • step S41 has already been explained.
  • step S53 the control device 3 exclusively adapts the rolling model 11, but not the additional model 12.
  • step S53 it determines the adaptation factor k1 on the basis of which deviation the rolling model 11 is adapted.
  • the auxiliary model 12 includes the phase transformation model 13 and the temperature of the rolling stock 2 is high enough in the respective rolling process, only the rolling model 11 is adopted, but not the phase transformation model 13. If the temperature of the rolling stock 2 is high enough in the case of the presence of the texture model 14 and the time between two rolling operations is large enough, the rolling model 11 can also be adapted. Otherwise, the texture model 14 is adapted.
  • FIG. 9 takes the control device 3 in a step S61 an initial state Z of the rolling stock 2 against.
  • the initial state Z describes the rolling stock 2 before rolling through the rolling mill 1.
  • the control device 3 accepts a desired final state Z * of the rolling stock 2.
  • the final state Z * refers to the state that the rolling stock 2 should have after rolling in the rolling mill 1.
  • the final state Z * includes, at least among other properties of the rolling stock 2, which can be determined by means of the rolling model 11 and / or the additional model 12.
  • step S63 the control device 3 sets the drive commands A, albeit temporarily.
  • step S64 the control device 3 determines, using the rolling model 11 and the additional model 12, expected properties of the rolling stock 2 after rolling in the rolling mill 1.
  • a step S65 the controller 3 determines the logical variable OK.
  • the logical variable OK assumes the value "TRUE” if and only if the expected properties determined in step S64 - within permissible tolerances - coincide with the desired properties received in step S62 and determined by the final state Z *. Otherwise, the logical variable OK assumes the value "FALSE".
  • step S66 the value of the logical variable OK is checked. If the logical variable OK is "FALSE”, the controller 3 proceeds to a step S67. In step S67, the controller 3 varies the drive commands A. Then it returns to step S64. If, on the other hand, the logical variable OK has the value "TRUE”, the rolling mill 1 is actuated with the now final control commands A.
  • the corresponding step is in FIG. 9 intentionally provided with the reference symbol S1, since it also corresponds to the step S1 of FIG. 2 equivalent.
  • the present invention has many advantages. In particular, it is comparable in complexity to the prior art approaches but shows superior results.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Metal Rolling (AREA)
EP09164843A 2009-07-08 2009-07-08 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage Withdrawn EP2280324A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP09164843A EP2280324A1 (fr) 2009-07-08 2009-07-08 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage
CN2010800306445A CN102473002B (zh) 2009-07-08 2010-06-28 借助轧制参数对与轧制模块不同的附加模块进行适配的轧机用的控制方法
EP20100732679 EP2452234B1 (fr) 2009-07-08 2010-06-28 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage
PCT/EP2010/059131 WO2011003764A1 (fr) 2009-07-08 2010-06-28 Procédé de commande pour un laminoir avec adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP09164843A EP2280324A1 (fr) 2009-07-08 2009-07-08 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage

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EP2280324A1 true EP2280324A1 (fr) 2011-02-02

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EP09164843A Withdrawn EP2280324A1 (fr) 2009-07-08 2009-07-08 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage
EP20100732679 Not-in-force EP2452234B1 (fr) 2009-07-08 2010-06-28 Procédé de commande pour un laminoir doté d'une adaptation d'un modèle supplémentaire différent d'un modèle de laminage à l'aide d'une grandeur de laminage

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WO (1) WO2011003764A1 (fr)

Cited By (2)

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EP3009204A1 (fr) * 2014-10-13 2016-04-20 Primetals Technologies Germany GmbH Modelisation de bande metallique dans un laminoir
EP3542915A1 (fr) * 2018-03-19 2019-09-25 thyssenkrupp Hohenlimburg GmbH Procédé de commande d'une installation de production d'un laminoir

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Publication number Priority date Publication date Assignee Title
CN102773268B (zh) * 2012-08-01 2014-12-03 天津钢铁集团有限公司 中厚板轧制过程中轧制力的检测方法
KR20170098223A (ko) * 2014-12-17 2017-08-29 프리메탈스 테크놀로지스 오스트리아 게엠베하 동작 모드의 최적화에 의한 야금 시설에 대한 동작 방법

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Publication number Priority date Publication date Assignee Title
US6546310B1 (en) 1997-11-10 2003-04-08 Siemens Aktiengesellschaft Process and device for controlling a metallurgical plant
WO2003045607A2 (fr) * 2001-11-30 2003-06-05 Voest-Alpine Industrieanlagenbau Gmbh & Co Procede de coulee continue
WO2008043684A1 (fr) 2006-10-09 2008-04-17 Siemens Aktiengesellschaft ProcÉdÉ de suivi de l'État physique d'une tÔle À chaud ou d'un feuillard À chaud dans le cadre de la commande d'un train de laminage grossier de tÔle utilisÉ pour le traitement d'une tÔle À chaud ou d'un feuillard À chaud

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6546310B1 (en) 1997-11-10 2003-04-08 Siemens Aktiengesellschaft Process and device for controlling a metallurgical plant
WO2003045607A2 (fr) * 2001-11-30 2003-06-05 Voest-Alpine Industrieanlagenbau Gmbh & Co Procede de coulee continue
WO2008043684A1 (fr) 2006-10-09 2008-04-17 Siemens Aktiengesellschaft ProcÉdÉ de suivi de l'État physique d'une tÔle À chaud ou d'un feuillard À chaud dans le cadre de la commande d'un train de laminage grossier de tÔle utilisÉ pour le traitement d'une tÔle À chaud ou d'un feuillard À chaud

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3009204A1 (fr) * 2014-10-13 2016-04-20 Primetals Technologies Germany GmbH Modelisation de bande metallique dans un laminoir
EP3542915A1 (fr) * 2018-03-19 2019-09-25 thyssenkrupp Hohenlimburg GmbH Procédé de commande d'une installation de production d'un laminoir
US11219932B2 (en) 2018-03-19 2022-01-11 Thyssenkrupp Ag Method for controlling a rolling mill production system

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WO2011003764A1 (fr) 2011-01-13
CN102473002A (zh) 2012-05-23
EP2452234B1 (fr) 2015-04-29
EP2452234A1 (fr) 2012-05-16

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